Call For Papers C1: Sub-Conference on Artificial Intelligence in Education/Intelligent Tutoring Systems (AIED/ITS)

The ICCE C1 sub-conference on AIED/ITS & Adaptive Learning focuses on research and development of interactive and adaptive learning environments for learners of all ages, across all domains. The conference provides opportunities for the cross-fertilization of knowledge and ideas from researchers in many fields that make up this interdisciplinary research area, including artificial intelligence, computer science, cognitive science, education, learning sciences, educational technology, psychology, philosophy, sociology, anthropology and linguistics. It also includes many domain-specific areas for which AIED/ITS systems have been designed and built, including ITS for ill-defined domains. CFP Link…

Call For Papers C7: Sub-Conference on Practice‚Äźdriven Research, Teacher Professional Development and Policy of ICT in Education (PTP)

In response to emerging research diversity, ICCE 2020 will be a meta-conference, comprising of seven co-located theme-based conferences. This is the Call for Papers for the theme-based conference,C7: Practice‚Äźdriven Research, Teacher Professional Development and Policy of ICT in Education (PTP). CFP Link…

Call For Papers C2: Sub-Conference on Computer-Supported Collaborative Learning (CSCL) and Learning Sciences

The sub-conference on Computer Supported Collaborative Learning and Learning Sciences aims to promote pancontinental discussion about learning designs that bring together perspectives from educational technology, information science, educational psychology, museum research, learning sciences, library science, instructional science, computer science, cognitive science, design research, human-computer interaction, and more. CFP Link…

Call For Papers C3: Sub-Conference on Advanced Learning Technologies, Learning Analytics, Platforms and Infrastructure

This sub-conference will focus on advances and emerging trends in digital infrastructure that support and facilitate learning. Examples include inventive uses of data as representations of teaching and learning activities which bring into scope learning analytics and its sub-processes of capturing, collecting, storing, analyzing, visualizing and using data to improve teaching & learning, as well as the processes that enable it, such as educational data mining, open educational resources, interoperability standards, and digital infrastructures. The conference aims to inform standards development in the area of systems, resource, and data interoperability and to report on and inspire design of new and advanced learning technologies. CFP Link…